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Cloud Digital Leader

Certification exam guide

A Cloud Digital Leader can articulate the capabilities of Google Cloud core products and services and how they benefit organizations. The Cloud Digital Leader can also describe common business use cases and how cloud solutions support an enterprise. The Cloud Digital Leader exam is job-role agnostic and does not require hands-on experience with Google Cloud.

Section 1: Digital Transformation with Google Cloud (approximately 10% of the exam)

1.1 Why Cloud Technology is Transforming Business

    ●  Explain why and how the cloud is revolutionizing businesses.

        ○  Define the terms: cloud, cloud technology, data, digital transformation, cloud-native, open source, open standard.

        ○  Describe the differences between cloud technology and traditional or on-premises technology.

        ○  Explain the benefits of cloud technology to a business’ digital transformation: this technology is scalable, flexible, agile, secure, cost-effective and offers strategic value.

        ○  Describe the primary benefits of on-premises infrastructure, public cloud, private cloud, hybrid cloud, and multicloud and differentiate between them.

        ○  Describe the main business transformation benefits of Google Cloud: intelligence, freedom, collaboration, trust, and sustainable technology.

        ○  Describe the implications and risks for organizations that do not adopt new technology.

        ○  Describe the drivers and challenges that lead organizations to undergo a digital transformation.

        ○  Describe the transformation cloud and how it accelerates an organization’s digital transformation through app and infrastructure modernization, data democratization, people connections, and trusted transactions.

1.2 Fundamental Cloud Concepts

    ●  Explain general cloud concepts.

        ○  Describe how transitioning to a cloud infrastructure affects flexibility, scalability, reliability, elasticity, agility, and total cost of ownership (TCO). Apply these concepts to various business use cases.

        ○  Explain how an organization’s transition from an on-premises environment to the cloud shifts their capital expenditures (CapEx) to operational expenditures (OpEx), and how that affects their total cost of ownership (TCO).

        ○  Identify when private, hybrid, or multicloud infrastructures best apply to different business use cases.

        ○  Define basic network infrastructure terminology, including: IP address; internet service provider (ISP); domain name server (DNS), regions, and zones; fiber optics; subsea cables; network edge data centers, latency; and bandwidth.

        ○  Discuss how Google Cloud supports digital transformation with global infrastructure and data centers connected by a fast, reliable network.

1.3 Cloud Computing Models and Shared Responsibility

    ●  Discuss the benefits and tradeoffs of using infrastructure as a service (IaaS); platform as a service (PaaS); and software as a service (SaaS).

        ○  Define IaaS, PaaS, and SaaS.

        ○  Compare and contrast the benefits and tradeoffs of IaaS, PaaS, and SaaS including total cost of ownership (TCO), flexibility, shared responsibilities, management level, and necessary staffing and technical expertise.

        ○  Determine which computing model (IaaS, PaaS, SaaS) applies to various business scenarios and use cases.

        ○  Describe the cloud shared responsibility model. Compare which responsibilities are the cloud provider’s, and which responsibilities are the customer’s for on-premises and cloud computing models (IaaS, PaaS, SaaS).

Section 2: Innovating with data and Google Cloud (approximately 30% of the exam)

2.1 Describe the role of data in digital transformation and the importance of a data-driven culture

    ●  Explain how cloud technology enables data to be applied in new ways

2.2 Identify common Google Cloud solutions for data management

    ●  Recognize examples of structured and unstructured data

2.3. Identify common Google Cloud solutions for smart analytics 

    ●  Articulate the business benefits of storing data in the cloud

    ●  Apply appropriate business use cases for databases, data warehouses, and data lakes 

    ●  Explain the benefits of Google Cloud data products, including: Looker, BigQuery, Cloud Spanner, Cloud SQL, Cloud Storage

2.4. Identify Google Cloud’s solutions for machine learning and AI

    ●  Define artificial intelligence (AI) and machine learning (ML) 

    ●  Outline the importance of data quality in ML prediction accuracy

    ●  Describe Google Cloud’s differentiators with regard to AI and machine learning 

    ●  Recognize the ways customers can use Google Cloud’s AI and ML solutions to create business value

Section 3: Infrastructure and application modernization (approximately 30% of the exam)

3.1 Learn what modernizing IT infrastructure with Google Cloud means

    ●  Explain why legacy infrastructure struggles to deliver modern services to customers 

    ●  Explain the benefits of modernizing infrastructure with cloud technology

    ●  Differentiate between hybrid and multicloud infrastructures

    ●  Differentiate between virtual machines, containers, and serverless computing within business use cases 

    ●  Identify the Google Cloud solutions that help businesses modernize their infrastructure

3.2 Understand modernizing applications with Google Cloud 

    ●  Describe the business drivers for modernizing applications

    ●  Describe the benefits of using cloud-native applications

    ●  Apply the appropriate change pattern to different business use cases

    ●  Explain the benefits of Google Kubernetes Engine, Anthos, and App Engine for application development

3.3 Understand the value of APIs 

    ●  Explain how application programming interfaces (APIs) can modernize legacy systems

    ●  Describe how APIs can create new business value 

    ●  Explain the benefits of Apigee

Section 4: Understanding Google Cloud security and operations (approximately 30% of the exam)

4.1 Describe financial governance in the cloud and Google Cloud's recommended best practices for effective cloud cost management 

    ●  Explain how adopting cloud technology affects the total cost of ownership (TCO) 

    ●  Identify the cost management strategy needed in a given business scenario 

4.2 Describe a cloud security approach and Google Cloud security benefits

    ●  Define fundamental cloud security terms, including privacy, availability, security, and control

    ●  Explain what is meant by a shared responsibility model 

    ●  Describe the security benefits of using Google Cloud

    ●  Identify today's top cybersecurity challenges and threats to data privacy

    ●  Demonstrate how organizations can control and manage access to cloud resources

4.3 Explain how IT operations need to adapt to thrive in the cloud 

    ●  Differentiate service availability requirements in the cloud versus in on-premises environments

    ●  Describe the operational challenges that DevOps solves

    ●  Apply the goals of site reliability engineering (SRE) to different business use cases 

4.4 Identify Google Cloud solutions for cloud resource monitoring and application performance management 

    ●  Explain the potential impact of unexpected or prolonged downtime

    ●  Define monitoring, logging, and observability within the context of cloud operations 

    ●  Identify the Google Cloud resource monitoring and maintenance tools.